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20182024
most citedTowards Expert-Level Medical Question Answering with Large Language Models

335 citations · 591 across the 16 of their papers we have counts for

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13 papers · 1 filter

cs.CV20242 cited

PathAlign: A vision-language model for whole slide images in histopathology

Faruk Ahmed, Andrew Sellergren, Lin Yang +14

Microscopic interpretation of histopathology images underlies many important diagnostic and treatment decisions. While advances in vision-language modeling raise new opportunities…

cs.CV202318 cited

ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders

Shawn Xu, Lin Yang, Christopher Kelly +25

In this work, we present an approach, which we call Embeddings for Language/Image-aligned X-Rays, or ELIXR, that leverages a language-aligned image encoder combined or grafted onto…

cs.CV20231 cited

Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning

Wei-Hung Weng, Sebastien Baur, Mayank Daswani +13

Cardiovascular diseases (CVDs) are responsible for a large proportion of premature deaths in low- and middle-income countries. Early CVD detection and intervention is critical in t…

cs.CV2020

Scientific Discovery by Generating Counterfactuals using Image Translation

Arunachalam Narayanaswamy, Subhashini Venugopalan, Dale R. Webster +10

Model explanation techniques play a critical role in understanding the source of a model's performance and making its decisions transparent. Here we investigate if explanation tech…

cs.CV2019

Detecting Anemia from Retinal Fundus Images

Akinori Mitani, Yun Liu, Abigail Huang +5

Despite its high prevalence, anemia is often undetected due to the invasiveness and cost of screening and diagnostic tests. Though some non-invasive approaches have been developed,…

cs.CV201910 cited

Predicting Progression of Age-related Macular Degeneration from Fundus Images using Deep Learning

Boris Babenko, Siva Balasubramanian, Katy E. Blumer +5

Background: Patients with neovascular age-related macular degeneration (AMD) can avoid vision loss via certain therapy. However, methods to predict the progression to neovascular a…